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10468nam a22004813i 4500 |
| 001 - CONTROL NUMBER |
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EBC6422862 |
| 003 - CONTROL NUMBER IDENTIFIER |
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MiAaPQ |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20240322152655.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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cr cnu|||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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231028s2018 xx o ||||0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783319656335 |
| Qualifying information |
(electronic bk.) |
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| Cancelled/invalid ISBN |
9783319656328 |
| 035 ## - SYSTEM CONTROL NUMBER |
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| System control number |
(MiAaPQ)EBC6422862 |
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| System control number |
(Au-PeEL)EBL6422862 |
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| System control number |
(OCoLC)1159394630 |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
MiAaPQ |
| Language of cataloging |
eng |
| Description conventions |
rda |
| -- |
pn |
| Transcribing agency |
MiAaPQ |
| Modifying agency |
MiAaPQ |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
G1-922 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Mathieu, Pierre-Philippe. |
| 245 10 - TITLE STATEMENT |
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| Title |
Earth Observation Open Science and Innovation. |
| 250 ## - EDITION STATEMENT |
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| Edition statement |
1st ed. |
| 264 #1 - |
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Cham : |
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Springer International Publishing AG, |
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2018. |
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�2018. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
1 online resource (328 pages) |
| 336 ## - |
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text |
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txt |
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rdacontent |
| 337 ## - |
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computer |
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c |
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rdamedia |
| 338 ## - |
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online resource |
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cr |
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rdacarrier |
| 490 1# - SERIES STATEMENT |
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| Series statement |
ISSI Scientific Report Series ; |
| Volume number/sequential designation |
v.15 |
| 505 0# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Intro -- Foreword -- Contents -- Part I Join the Geo Revolution -- The Changing Landscape of Geospatial Information Markets -- Introduction -- Rise of the Platforms -- Data as a Service -- Open Data Policies -- New Business Models -- Sensor Use Growing -- Crowdsourcing -- Disruptive Innovation -- Cloud Computing -- Business Models in Cloud Computing -- Microsoft Azure -- Amazon Web Services (AWS) -- Google Cloud Platform -- Conclusion -- References -- The Digital Transformation of Education -- Case Study: How the World Bank Group's Open Learning Campus is Partnering with Earth Observation Satellite Data to Enrich the Learning Experience -- -- Learning as an Accelerator to Achieve Development Goals -- Progress of the OLC so Far -- Flexible Pathways to Learning -- Increasing Importance of Geospatial Data -- Examples of How the OLC is Incorporating Spatial Data -- Issues Relevant to This Experience for the Earth Observation Community -- Case Study Conclusion -- References -- The Open Science Commons for the European Research Area -- Creating the European Research Area: The "Open" Approach -- Problems to Solve -- Lack and/or Incomplete Roadmaps for Research- and e-Infrastructures -- Fragmented Solutions and Policies for Access to Data and Knowledge -- Insufficient Cooperation Between Public and Private Sector -- Lack of National and European Organization Between All Stakeholders -- Many Providers Without a Single Market -- The Open Science Commons -- The European Open Science Cloud -- Open Science Commons for the EOSC -- EOSC Architecture and Services -- Realizing a Federated Approach to Research Data -- Offering of Scalable Access to and Analysis of Research Data for Reuse -- Integrating (Shared) Tools and Applications -- Provisioning of Services for Depositing Data for Resource-Bound Users -- EOSC Service Integration and Management. |
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| Formatted contents note |
EOSC Governance -- EOSC and the e-Infrastructure Commons -- The EGI Blueprint -- Core Infrastructure Platform -- Collaborative Platform -- The EGI Federated Cloud -- The Data Hub and the Open Data Platform -- EO Data Exploitation via the e-Infrastructures and EOSC -- Infrastructure Services for EO Data Exploitation -- An Example: e-Infrastructure Services to Implement the ESA Generic Exploitation Platform Open Architecture -- An Example: Integration of the Geohazard Exploitation Platform Within the EGI Infrastructure -- Conclusions -- References -- Citizen Science for Observing and Understanding the Earth -- Introduction -- Societal and Technological Trends -- Citizen Science Today: Main Areas of Activity -- Citizen Science Across Domains: Long-Running Citizen Science -- The Impact of Technology: Citizen Cyberscience -- Depth of Participation: Community Science -- Citizen Science and Earth Observation: Technical, Societal, Ethical and Policy Aspects -- Technical Aspects -- Societal and Ethical Aspects -- Citizen Science Integration into Policy -- Conclusions -- References -- Part II Enabling Data Intensive Science -- Fostering Cross-Disciplinary Earth Science Through DatacubeAnalytics -- Introduction -- Standards-Based Modelling of Datacubes -- Coverage Data Model -- Web Coverage Service -- Web Coverage Processing Service -- The Role of Standards -- Science Data Services -- Earth Observation Data Services -- Marine Science Data Service -- Climate Science Data Service -- Planetary Science Data Service -- Cross-Service Federation Queries -- Datacube Analytics Technology -- Array Databases as Datacube Platform -- Array Storage -- Array Processing -- Tool Integration -- The Role and Handling of Metadata -- Virtual Globes as Datacube Interfaces -- Related Work -- Conclusion and Outlook -- References. |
|
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| Formatted contents note |
Mind the Gap: Big Data vs. Interoperability and Reproducibility of Science -- Introduction: the Big Data Paradox -- It's All in the Framing! -- Towards Open (Shared) Knowledge -- The GEOSS Case -- Big Data Infrastructure Services: The GEOSS Common Infrastructure (GCI) Big Data Strategy -- Content Harmonization and Information/Knowledge Generation: The Brokering Framework -- The Brokering framework -- The DAB -- More (Value) knowledge to reduce Volume -- From Data to Knowledge: the GEOSS Knowledge Base and High-Performance Data Analytics -- The DIKW pattern -- The GEOSS Knowledge Base -- High-Performance Analytics and GEOSS -- Conclusions -- References -- Cyber-Infrastructure for Data-Intensive Geospatial Computing -- Introduction -- Settlement Mapping Tool (SMTOOL) -- Toolbox for Urban Mobility Simulations (TUMS) -- Global Dataset -- Framework -- OD Tables -- Resolution -- Unified Network and Population Database -- Big Data -- Urban Information System (UrbIS) -- Leveraging Big Data to Understand Urban Impact on Environment and Climate -- Conclusions -- References -- Machine Learning Applications for Earth Observation -- Introduction -- What Is Machine Learning? -- Some Existing Machine Learning Applications -- Machine Learning for Bias Correction and Cross Calibration -- Vegetation Indices -- Space-Based Measurements of HCl Relevant for Ozone Depletion -- HCl and Cly Time Series -- Bias Correction of MODIS Aerosol Optical Depth -- Data Description -- Machine Learning AOD Bias Correction -- Machine Learning for New Product Creation -- Airborne Particulates -- Tracer Correlations -- Reconstructing CH4-N2O Correlations -- Pollen Estimation -- Predicting Pollen Abundance -- Using Machine Learning for Ocean Data Products -- Dust Source Identification Using Unsupervised Classification -- Bolivia and Chile Salt Flats Dust Event. |
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| Formatted contents note |
Bod�el�e Depression Dust Event -- Characterizing Pelagic Habitats Within Coastal Waters -- Fish Catch and SOM Classes -- Some Likely Future Machine Learning Applications -- Hyper-Spectral Imaging and Machine Learning for Real Time Embedded Processing and Decision Support -- Oil Spills -- Summary -- References -- New Generation Platforms for Exploration of CrowdsourcedGeo-Data -- Introduction -- Virtual Globes as the New Generation Visualization Platforms -- Virtual Globes for the Exploration of Crowdsourced Geo-Data -- Applications -- PoliCrowd -- Open Data Kit (ODK) -- NASA World Wind Java SDK -- System Architecture -- Overview of Functionalities -- Telecommunication Data Viewer -- The netCDF Data Format -- EST-WA: A Multidimensional Data Viewer -- Application of EST-WA to Explore Geo-Crowdsourced Data -- Conclusions -- References -- Part III Use Cases Open Science and Innovation -- Mapping Land Use Dynamics Using the Collective Powerof the Crowd -- Concept and Context -- The Collective Power of the Crowd -- VGDI Access and Integration: The Foursquare Use Case -- What Is Next and Where Are We Headed? -- References -- The Emergence of the GeoSharing Economy -- GeoSharing Platform Requirements -- Technical Access -- Commercial and Legal Access -- Reference -- Sustainable Agriculture and Smart Farming -- Multi-Year Site-Characterization of Fields Using Advanced Data Harvesting Techniques -- Up-to-Date Crop Status Using Access to Satellite Data in Near-Real-Time -- Conclusions and Outlook -- References -- Earth Observation Data for Enterprise Business Applications -- Development of an Earth Observation Cloud Platform in Support to Water Resources Monitoring -- Introduction -- EODC: The Earth Observation Data Centre for Water Resources Management -- Pilot Services -- Closing Remarks -- References -- Putting Big Data Innovation into Action for Development. |
|
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| Formatted contents note |
Tracking Light from the Sky: Monitoring Rural Electrification from Space -- Tracking Poverty from Space -- Satellite-Based Yield Measurement -- Conclusion -- Mapping Floods and Assessing Flood Vulnerability for Disaster Decision-Making: A Case Study Remote Sensing Applicationin Senegal -- Introduction -- Why Senegal? An Example of the Critical Information Gap in Disaster Management -- Socio-Physical Vulnerability to Flooding to Senegal -- Using Big Data Information in Disaster Management -- The Future of This Approach Globally and Locally as a Practical Tool -- Conclusion -- References -- Earth Observation and Geospatial Implementation: Fueling Innovation in a Changing World -- Earth Observation Scientific Data Access, Discovery, and Challenges -- How Are Maps and Earth Observation Data Transforming Our World? -- Delivering Geospatial Data and Information Products with Web GIS -- Esri and Big Data -- Notable Solutions and Capabilities -- Conclusion -- References -- Artificial Intelligence and Earth Observation to Explore Water Quality in the Wadden Sea -- Introduction -- Inductive Learning -- Data Description -- Methods -- Results and Discussion -- Conclusions -- References -- Erratum to: Citizen Science for Observing and Understanding the Earth -- Index. |
| 588 ## - |
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| -- |
Description based on publisher supplied metadata and other sources. |
| 590 ## - LOCAL NOTE (RLIN) |
|---|
| Local note |
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. |
| 655 #4 - INDEX TERM--GENRE/FORM |
|---|
| Genre/form data or focus term |
Electronic books. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Aubrecht, Christoph. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Display text |
Print version: |
| Main entry heading |
Mathieu, Pierre-Philippe |
| Title |
Earth Observation Open Science and Innovation |
| Place, publisher, and date of publication |
Cham : Springer International Publishing AG,c2018 |
| International Standard Book Number |
9783319656328 |
| 797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN) |
|---|
| Corporate name or jurisdiction name as entry element |
ProQuest (Firm) |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
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| Uniform title |
ISSI Scientific Report Series |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
https://ebookcentral.proquest.com/lib/kliuc-ebooks/detail.action?docID=6422862 |
| Public note |
Click to View |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
E-book |
